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 Series Title: Labor Force Participation Rate: 16-19 years, Women: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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 2012 04 6931·5
 2012 03 6032·7
 2012 02 932·1
 2012 01 1131·9
 2011 12  8732·0
 2011 11  6133·7
 2011 10  5634·3
 2011 09  2733·6
 2011 08  1038.1
 2011 07  9841.9
 2011 06  4240.5
 2011 05  8033·7
 2011 04  8732·7
 2011 03  5232.0
 2011 02  7831·0
 2011 01  1231·4
 2010 12 9332.1
 2010 11 3032·3
 2010 10 534·3
 2010 09 9533·0
 2010 08 3038·9
 2010 07 6541·9
 2010 06 8340.1
 2010 05 2135·7
 2010 04 2233·5
 2010 03 1232.8
 2010 02 133·0
 2010 01 932.5
 2009 12  1933.9
 2009 11  5334·4
 2009 10  7234.2
 2009 09  534.6
 2009 08  9840.1
 2009 07  9546·3
 2009 06  3446·1
 2009 05  7637.8
 2009 04  5935.6
 2009 03  6935·7
 2009 02  4936.9
 2009 01  1836·4
 2008 12 2636·5
 2008 11 3336·8
 2008 10 637.7
 2008 09 4838·2
 2008 08 5143·3
 2008 07 6748.9
 2008 06 1746.6
 2008 05 1340·9
 2008 04 839·2
 2008 03 7937·8
 2008 02 2138.1
 2008 01 8038.9
 2007 12  9940·7
 2007 11  041.0
 2007 10  8040·1
 2007 09  4339·7
 2007 08  4843.4
 2007 07  8650·1
 2007 06  8247.9
 2007 05  2339·7
 2007 04  638·2
 2007 03  1938.2
 2007 02  4039.2
 2007 01  6239·8
 2006 12 4941.5
 2006 11 742·2
 2006 10 9242.1
 2006 09 3140.9
 2006 08 7647·4
 2006 07 8053.1
 2006 06 150·5
 2006 05 2342·1
 2006 04 1340.6
 2006 03 9540·8
 2006 02 5441·5
 2006 01 5741.1
 2005 12  1041·3
 2005 11  3542.2
 2005 10  6543.4
 2005 09  7842.7
 2005 08  4449.5
 2005 07  453·2
 2005 06  7150·6
 2005 05  5444.0
 2005 04  1441.1
 2005 03  3640·7
 2005 02  3640·9
 2005 01  8041·1
 2004 12 4542·4
 2004 11 8741.7
 2004 10 4642·1
 2004 09 7641·4
 2004 08 8947·5
 2004 07 3853.0
 2004 06 1649.6
 2004 05 8443.5
 2004 04 1940.9
 2004 03 9640.2
 2004 02 8341·5
 2004 01 7541·6
 2003 12  3840.5
 2003 11  9342·6
 2003 10  1042.4
 2003 09  4241·8
 2003 08  7047·9
 2003 07  8553·1
 2003 06  8552.3
 2003 05  444.4
 2003 04  6643.4
 2003 03  5442·9
 2003 02  2043.2
 2003 01  743.3
 2002 12 044.6
 2002 11 745.1
 2002 10 5445·8
 2002 09 1845.4
 2002 08 7451.0
 2002 07 7556.5
 2002 06 4954·9
 2002 05 3245·3
 2002 04 1344·8
 2002 03 1545·9
 2002 02 9444·7
 2002 01 6844.2
 2001 12  6746·4
 2001 11  847.9
 2001 10  147.8
 2001 09  7145.6
 2001 08  1150·0
 2001 07  6258·2
 2001 06  856·7
 2001 05  846·8
 2001 04  4746.2
 2001 03  747.2
 2001 02  7847.6
 2001 01  7647.1
 2000 12 9850.3
 2000 11 150·5
 2000 10 9949.6
 2000 09 9248·4
 2000 08 1755·8
 2000 07 2559·7
 2000 06 8457·7
 2000 05 049·8
 2000 04 7748·7
 2000 03 8648·1
 2000 02 7048·0
 2000 01 7147.4
 1999 12  8049·1
 1999 11  1549·4
 1999 10  2148·5
 1999 09  9847.7
 1999 08  5154·9
 1999 07  6960·7
 1999 06  2556.8
 1999 05  050.1
 1999 04  4148·4
 1999 03  3049·1
 1999 02  9449.4
 1999 01  2148.0
 1998 12 2450·2
 1998 11 549.0
 1998 10 6649·8
 1998 09 3150.5
 1998 08 157.4
 1998 07 2461.9
 1998 06 459·8
 1998 05 2451.8
 1998 04 9748.4
 1998 03 4450·1
 1998 02 9649.3
 1998 01 1849.0
 1997 12  6349·6
 1997 11  4848.7
 1997 10  5546·8
 1997 09  5947.8
 1997 08  7555·6
 1997 07  4262.6
 1997 06  2057.7
 1997 05  1450·5
 1997 04  3248·3
 1997 03  5848.5
 1997 02  5148.0
 1997 01  7847·5
 1996 12 6050·2
 1996 11 5150.4
 1996 10 3949·5
 1996 09 7149·5
 1996 08 1056·1
 1996 07 561·8
 1996 06 9458.4
 1996 05 3750·6
 1996 04 5747.0
 1996 03 2447·3
 1996 02 5747·1
 1996 01 4447.6
 1995 12  049.4
 1995 11  4249.6
 1995 10  8849·4
 1995 09  8749.1
 1995 08  6758·2
 1995 07  1563·5
 1995 06  7761·0
 1995 05  8451·5
 1995 04  648.9
 1995 03  2449.2
 1995 02  3648.0
 1995 01  8148·3
 1994 12 9349.5
 1994 11 7648·6
 1994 10 248·5
 1994 09 4646·5
 1994 08 3057.3
 1994 07 262·8
 1994 06 4060.4
 1994 05 7350.6
 1994 04 4049·4
 1994 03 6047.2
 1994 02 3647·3
 1994 01 8247.0
 1993 12  7547.5
 1993 11  3148.1
 1993 10  448.3
 1993 09  1747.1
 1993 08  1055·8
 1993 07  2162.4
 1993 06  8157.0
 1993 05  4649.4
 1993 04  4645.0
 1993 03  6344.5
 1993 02  3146.1
 1993 01  6444·8
 1992 12 746·7
 1992 11 1246·7
 1992 10 4145.9
 1992 09 9046·7
 1992 08 4456.2
 1992 07 5161.7
 1992 06 2457.6
 1992 05 6847·4
 1992 04 3344·3
 1992 03 8644·7
 1992 02 1846.1
 1992 01 6844·8
 1991 12  7347·6
 1991 11  4847.6
 1991 10  8648·2
 1991 09  8346.2
 1991 08  9154.6
 1991 07  9661.3
 1991 06  1658·2
 1991 05  3247·6
 1991 04  3648·0
 1991 03  947.1
 1991 02  2147.0
 1991 01  6146.8
 1990 12 8547.7
 1990 11 9547·6
 1990 10 3848·3
 1990 09 3748·7
 1990 08 3757·2
 1990 07 8563·3
 1990 06 3159.8
 1990 05 5549·9
 1990 04 1848·7
 1990 03 3650.3
 1990 02 8848.6
 1990 01 3548·8
 1989 12  7851.6
 1989 11  3052.7
 1989 10  2052·1
 1989 09  2052.3
 1989 08  9262.1
 1989 07  7365.5
 1989 06  6762.8
 1989 05  7951·4
 1989 04  6249.9
 1989 03  9748.6
 1989 02  9148·5
 1989 01  749·8
 1988 12 1251·5
 1988 11 5850.6
 1988 10 8051.4
 1988 09 2252·1
 1988 08 9361·7
 1988 07 3966·2
 1988 06 4662.5
 1988 05 6950.0
 1988 04 8049·1
 1988 03 4548·7
 1988 02 2949·9
 1988 01 1849·6
 1987 12  7451.4
 1987 11  951·6
 1987 10  9051·9
 1987 09  6150·1
 1987 08  9961.8
 1987 07  8765·4
 1987 06  1860·6
 1987 05  1952·2
 1987 04  749·3
 1987 03  6149.3
 1987 02  2548.4
 1987 01  3647.6
 1986 12 7350·1
 1986 11 3750.3
 1986 10 4951·3
 1986 09 7950.0
 1986 08 9760.2
 1986 07 4764.4
 1986 06 5462.0
 1986 05 4550·8
 1986 04 450·2
 1986 03 4850·3
 1986 02 2748·7
 1986 01 5147·4
 1985 12  4549.9
 1985 11  2150.5
 1985 10  8050.1
 1985 09  4349.8
 1985 08  9658·3
 1985 07  7365·0
 1985 06  5358·0
 1985 05  8850·0
 1985 04  5647.9
 1985 03  3549·3
 1985 02  748·6
 1985 01  8247·8
 1984 12 5249.5
 1984 11 6548.9
 1984 10 3149.8
 1984 09 4350·4
 1984 08 3259·5
 1984 07 4465·5
 1984 06 3861·1
 1984 05 1649·2
 1984 04 7448·2
 1984 03 7846·5
 1984 02 6546.8
 1984 01 6947.1
 1983 12  7749.2
 1983 11  9948·7
 1983 10  7548.2
 1983 09  9849.1
 1983 08  6760.2
 1983 07  6462·9
 1983 06  5660·0
 1983 05  2047.2
 1983 04  9346·4
 1983 03  5545.8
 1983 02  2245·1
 1983 01  8046·8
 1982 12 3349·2
 1982 11 7750·4
 1982 10 1050.2
 1982 09 4850·3
 1982 08 8459·3
 1982 07 6463.4
 1982 06 8258.1
 1982 05 1749·6
 1982 04 7547·5
 1982 03 7046·1
 1982 02 2846.8
 1982 01 646·6
 1981 12  5348·3
 1981 11  7949.9
 1981 10  5949·8
 1981 09  6149·6
 1981 08  9659·1
 1981 07  9662.7
 1981 06  1358·5
 1981 05  4950·4
 1981 04  349·2
 1981 03  5348·2
 1981 02  5447·9
 1981 01  6548·5
 1980 12 051.1
 1980 11 851.2
 1980 10 7051·3
 1980 09 2851·0
 1980 08 3759.2
 1980 07 4164·5
 1980 06 7260·2
 1980 05 8250.7
 1980 04 9047·6
 1980 03 5948·4
 1980 02 049·0
 1980 01 9750·4
 1979 12  5853·6
 1979 11  9453.2
 1979 10  1653.1
 1979 09  6651.5
 1979 08  6859.8
 1979 07  264.8
 1979 06  761.6
 1979 05  950·9
 1979 04  7050.4
 1979 03  6650·7
 1979 02  8850.5
 1979 01  7050·7
 1978 12 3953·4
 1978 11 9152·9
 1978 10 9552·6
 1978 09 1852·1
 1978 08 7562·4
 1978 07 1065·5
 1978 06 9261.8
 1978 05 4651.4
 1978 04 448·8
 1978 03 7848·0
 1978 02 6647.4
 1978 01 7548.0
 1977 12  7749.9
 1977 11  7950.6
 1977 10  3150·1
 1977 09  4949.3
 1977 08  6859·9
 1977 07  1761·9
 1977 06  2359.7
 1977 05  3646·8
 1977 04  7846.9
 1977 03  2647.4
 1977 02  746.3
 1977 01  3046·0
 1976 12 3347·8
 1976 11 6148·6
 1976 10 7048·4
 1976 09 5247.4
 1976 08 8257.5
 1976 07 561·7
 1976 06 2556·9
 1976 05 4447·3
 1976 04 245·8
 1976 03 6346.1
 1976 02 1045·0
 1976 01 7645.4
 1975 12  9348.4
 1975 11  6847·3
 1975 10  8847·7
 1975 09  4347.5
 1975 08  7956·1
 1975 07  7659.8
 1975 06  4655.6
 1975 05  6246.4
 1975 04  1244.3
 1975 03  6845·2
 1975 02  9744.4
 1975 01  8046.1
 1974 12 6747·8
 1974 11 5348·3
 1974 10 8048.9
 1974 09 6448.3
 1974 08 4355.0
 1974 07 6060·0
 1974 06 5756.3
 1974 05 944·9
 1974 04 6843.9
 1974 03 4745·4
 1974 02 1745.1
 1974 01 3345.1
 1973 12  9048.0
 1973 11  9548·0
 1973 10  7147.3
 1973 09  8246.5
 1973 08  8654.4
 1973 07  1257.6
 1973 06  5855.9
 1973 05  2444·2
 1973 04  5643.8
 1973 03  2843.3
 1973 02  4243·0
 1973 01  5340·9
 1972 12 2445·5
 1972 11 045·1
 1972 10 844.2
 1972 09 8943·2
 1972 08 4353.5
 1972 07 1057.2
 1972 06 7252.9
 1972 05 7541·9
 1972 04 8642·2
 1972 03 6541·7
 1972 02 7041.4
 1972 01 8141.1
 1971 12  5443·2
 1971 11  9642·7
 1971 10  6541·5
 1971 09  141·4
 1971 08  7452·0
 1971 07  6055·1
 1971 06  4648.6
 1971 05  5439·1
 1971 04  9439·1
 1971 03  3839·5
 1971 02  2539·7
 1971 01  8539.2
 1970 12 9141.6
 1970 11 3843.2
 1970 10 4043·3
 1970 09 6142.8
 1970 08 6552·5
 1970 07 9054·7
 1970 06 5450·3
 1970 05 7839.5
 1970 04 4139·8
 1970 03 5139.4
 1970 02 5440·3
 1970 01 5539·9
 1969 12  6943·9
 1969 11  443.8
 1969 10  5544·0
 1969 09  3541.4
 1969 08  2652·8
 1969 07  5455·7
 1969 06  9351·5
 1969 05  8837.0
 1969 04  1137.8
 1969 03  3437·5
 1969 02  3237.1
 1969 01  936·0
 1968 12 5039·7
 1968 11 040·3
 1968 10 5939.7
 1968 09 1539·7
 1968 08 9350·5
 1968 07 3354·4
 1968 06 8750.9
 1968 05 5237·5
 1968 04 1636·9
 1968 03 4037.8
 1968 02 5438.5
 1968 01 8836.7
 1967 12  1940·8
 1967 11  5440.7
 1967 10  2440·1
 1967 09  1839.0
 1967 08  2850·4
 1967 07  3053.7
 1967 06  8449.4
 1967 05  6036.0
 1967 04  9237·0
 1967 03  5036·7
 1967 02  4638·1
 1967 01  5937·0
 1966 12 8742·9
 1966 11 2142·4
 1966 10 4940.7
 1966 09 8538·8
 1966 08 1451.2
 1966 07 7452.9
 1966 06 5649·2
 1966 05 3037.8
 1966 04 9736·0
 1966 03 6634·6
 1966 02 5434·6
 1966 01 1535.7
 1965 12  8940.3
 1965 11  7939.5
 1965 10  5739.1
 1965 09  8337·7
 1965 08  6344.7
 1965 07  2047.7
 1965 06  243.8
 1965 05  434·8
 1965 04  2033·5
 1965 03  2032.1
 1965 02  5331·0
 1965 01  7131.3
 1964 12 8536·6
 1964 11 3536.1
 1964 10 9635.8
 1964 09 536.1
 1964 08 1043·8
 1964 07 4745·7
 1964 06 4545.0
 1964 05 4834·6
 1964 04 6832·2
 1964 03 6432·6
 1964 02 3933.2
 1964 01 7132·5
 1963 12  6235.5
 1963 11  1635.8
 1963 10  3937.7
 1963 09  6636·8
 1963 08  1544·6
 1963 07  6048.0
 1963 06  3345·9
 1963 05  5537.2
 1963 04  7933·4
 1963 03  7833.0
 1963 02  3633·8
 1963 01  7933.6
 1962 12 2937.3
 1962 11 7737·3
 1962 10 8337·4
 1962 09 1037.1
 1962 08 6648.4
 1962 07 8749·8
 1962 06 3947.9
 1962 05 4036·7
 1962 04 1334.9
 1962 03 6734.4
 1962 02 9233.3
 1962 01 8933·8
 1961 12  2337.8
 1961 11  9739.5
 1961 10  5338·8
 1961 09  138·8
 1961 08  7148·6
 1961 07  8450·1
 1961 06  6148.1
 1961 05  4635.0
 1961 04  5635.0
 1961 03  6035.7
 1961 02  8034·2
 1961 01  1734.2
 1960 12 437·8
 1960 11 8136.9
 1960 10 9638·8
 1960 09 3338·8
 1960 08 6645·6
 1960 07 2949·7
 1960 06 2250.2
 1960 05 4037·6
 1960 04 1735·0
 1960 03 1034·2
 1960 02 9833.9
 1960 01 533.3
 1959 12  5738.0
 1959 11  5737.0
 1959 10  8437·5
 1959 09  2337·7
 1959 08  1246·2
 1959 07  2647.2
 1959 06  7044·7
 1959 05  1334·2
 1959 04  3334.7
 1959 03  9833·1
 1959 02  6932.9
 1959 01  1934.2
 1958 12 9338·7
 1958 11 8137.7
 1958 10 1738·9
 1958 09 1138.7
 1958 08 9545.7
 1958 07 547·2
 1958 06 7946.0
 1958 05 8237·9
 1958 04 6334.9
 1958 03 2833·8
 1958 02 4134.8
 1958 01 5233·9
 1957 12  4840·3
 1957 11  3139·8
 1957 10  1740·9
 1957 09  6541.5
 1957 08  2547·3
 1957 07  2151.2
 1957 06  4546·9
 1957 05  8937·6
 1957 04  9536.1
 1957 03  2936.3
 1957 02  8737.0
 1957 01  2037·6
 1956 12 8243.2
 1956 11 1241.7
 1956 10 3241.5
 1956 09 7642.5
 1956 08 3850·1
 1956 07 5253·6
 1956 06 9350.1
 1956 05 138·8
 1956 04 3736·5
 1956 03 5535·3
 1956 02 636.3
 1956 01 6536·5
 1955 12  8143·8
 1955 11  5342·3
 1955 10  3641.0
 1955 09  6241.8
 1955 08  9348.6
 1955 07  348.2
 1955 06  7042·8
 1955 05  1035·1
 1955 04  2633·2
 1955 03  8632·3
 1955 02  2032·9
 1955 01  5433.9
 1954 12 5435.7
 1954 11 837.0
 1954 10 2639·6
 1954 09 6340.7
 1954 08 7844·7
 1954 07 346.1
 1954 06 4943.3
 1954 05 3236·0
 1954 04 2237·2
 1954 03 2537·9
 1954 02 7837.1
 1954 01 7837·0
 1953 12  3937.9
 1953 11  5737·4
 1953 10  2538·8
 1953 09  4842·0
 1953 08  148·6
 1953 07  649.0
 1953 06  2847.2
 1953 05  937.6
 1953 04  1237.3
 1953 03  337·8
 1953 02  5138·3
 1953 01  5537·0
 1952 12 9441·6
 1952 11 441·6
 1952 10 8140.3
 1952 09 742·0
 1952 08 047·9
 1952 07 9251.4
 1952 06 3250.5
 1952 05 840·4
 1952 04 438.1
 1952 03 7336.7
 1952 02 4037·8
 1952 01 2737·5
 1951 12  740·7
 1951 11  7841.3
 1951 10  6842.9
 1951 09  5842·6
 1951 08  3450·1
 1951 07  6552.6
 1951 06  646·9
 1951 05  2139.4
 1951 04  3537.8
 1951 03  1539·8
 1951 02  6537.9
 1951 01  5937·2
 1950 12 8641·2
 1950 11 3441·9
 1950 10 8442·5
 1950 09 4241·0
 1950 08 8847.0
 1950 07 5448.2
 1950 06 2546.3
 1950 05 6438·1
 1950 04 6635.7
 1950 03 3335.5
 1950 02 7637·5
 1950 01 4436·6
 1949 12  6940·9
 1949 11  5042·0
 1949 10  5142.7
 1949 09  2643·9
 1949 08  7448.5
 1949 07  1449.9
 1949 06  8747.2
 1949 05  8040·0
 1949 04  8137·6
 1949 03  5640·2
 1949 02  4639.2
 1949 01  9837·3
 1948 12 1541.9
 1948 11 3240.6
 1948 10 1840.4
 1948 09 241·7
 1948 08 2747.1
 1948 07 2451·2
 1948 06 1450·2
 1948 05 3436·9
 1948 04 9237·7
 1948 03 3939.0
 1948 02 7339.0
 1948 01 6538.1
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US Unemployment Rate: Alternative Measures of Labor Underutilization

Charts

Unemployment Rate: US Unemployment Rate: Alternative Measures of Labor Underutilization
Unemployment Rate: Gender
Unemployment Rate: Black: Gender
Unemployment Rate: White: Gender
Unemployment Rate: Race
Unemployment Rate: Age: 16/25/35/45/55
Unemployment Rate: Education
Unemployment Rate: Nonagricultural Industry
Unemployment Rate: Job Category
Median Weeks Unemployed: Age
Median Weeks Unemployed: Race


The US Labor Force Dataset from the BLS contains nearly 15,000 series.
These series are subcategories of the popular series of:

Civilian Labor Force (subcategories)
Employment Level (subcategories)
Unemployment Level (subcategories)
US Unemployment Rate (subcategories)
Population (subcategories)
Employment-Population Ratio (subcategories)
Median Weeks Unemployed (subcategories)
Percent Distribution (subcategories)
Average Hours At Work (subcategories)
Of Total Unemployed (subcategories)

These basic measures are augmented by:

Population
Labor Force Participation Rate
Employment-Population Ratio
Not in Labor Force
Number at work
Average hours at work
Multiple jobholders
Average number of search methods used
Number At work part-time

These series can be subdivided by:

Sex:

Male
Female

Race and Ethnicity:

White
Black
Hispanic
Mexican
Puerto Rican
Cuban

Age:

16 years and over (default)
14_yrs._&_over
16-17_yrs.
16-19_yrs.
16-21_yrs.
16-24_yrs.
18-19_yrs.
20_yrs._&_over
20-24_yrs.
20-64_yrs.
25_yrs._&_over
25-29_yrs.
25-34_yrs.
25-54_yrs.
25-59_yrs.
30-34_yrs.
35-39_yrs.
35-44_yrs.
40-44_yrs.
45_yrs._&_over
45-49_yrs.
45-54_yrs.
50-54_yrs.
55_yrs._&_over
55-59_yrs.
55-64_yrs.
60-61_yrs.
60-64_yrs.
62-64_yrs.
65_yrs._&_over
65-69_yrs.
70_yrs._&_over

Class Of Worker:

Wage_And_Salary_Workers
Private_Wage_And_Salary_Workers
Government_Wage_And_Salary_Workers
Self-employed_Workers
Unpaid_Family_Workers

Industry:

Agriculture_Service
Furniture_And_Fixtures
Motor_Vehicles_&_Motor_Vehicle_Equipment
Aircraft
Tobacco
Eating_And_Drinking
Private_Households
Hospital
Postal
Federal
State
Local
Goods_Producing
Service_Producing
Agriculture_(Excludes_Forestry_And_Fisheries)
Forestry_And_Fisheries
Nonagricultural
Mining
Construction
Manufacturing
Manufacturing,_Durables
Lumber_And_Wood_Products,_Except_Furniture
Stone,_Clay,_And_Glass_Products
Primary_Metal
Fabricated_Metal
Machinery
Electrical_machinery,_equipment,_&_supplies
Transportation_Equipment
Professional_&_photographic_equipment_&_watches
Other_transportation_equipment
Fabricated_Metals
Manufacturing,_Nondurables
Food_And_Kindred_Products
Textile_Mill_Products
Apparel_And_Other_Fabricated_Textile_Products
Paper_And_Allied_Products
Printing,_Publishing,_And_Allied_Industries
Chemicals_And_Allied_Products
Petroleum_And_Coal_Products
Rubber_And_Miscellaneous_Plastic_Products
Leather_And_Leather_Products
Transportation,_Communication,_And_Other_Public_Utilities
Transportation
Transportation_Other_Than_Railroad_And_Railway_Express
Communications_And_Other_Public_Utilities
Communications
Trade
Wholesale_Trade
Retail_Trade
Service_Industries
Finance,_Insurance,_And_Real_Estate
Insurance_And_Real_Estate
Banking_And_Other_Financial_Organizations
Business_And_Repair_Services
Businesses
Repair_Services
Personal_Services
Entertainment_And_Recreation_Services
Professional_And_Related_Services
Medical
Educational_Services
Welfare_And_Religious_Services
Public_Administration

Occupation:

Managerial_&_professional_specialty_occupation
Executive,_administration,_&_managerial
Officials_&_administration,_public_administation
Management_Related_Occupations
Professional_Specialty_Occupations
Engineers
Math_&_Computer_Scientists
Natural_scientists
Health_Diagnosing_Occupations
Health_Assessment_&_Treating
Teachers,_college_&_university
Lawyers_&_Judges
Technical,_sales,_administration_support
Technicians_&_related_support_occupations
Health_technologists_&_technicians
Engineering_&_science_technicians
Technicians
Sales_Occupations
Supervisors_&_Proprietors
Sales_reps,_finance_&_business_services
Sales_reps,_commodities
Sales,_retail_&_personal
Sales_Related_Occupations
Administrative_support
Supervisors
Computer_Equipment_Operators
Secretaries,_stenographers,_&_typists
Financial_Records_Processing
Mail_&_Message_Distributing
Service_Occupation
Private_Household
Protective_Services
Food_Service
Health_Service
Cleaning_&_Building_Service
Personal_Service
Precision_Production,_Craft,_Repair
Mechanics_&_Repairers
Construction_Trades
Operators,_Fabricators,_Laborers
Machine_operators,_assemblers,_inspectors
Operators_&_tenders
Fabricators,_assemblers,_inspectors,_samplers
Transportation,_material_moving
Motor_vehicle_operators
Handlers,_equipment_cleaners,_helpers,_laborers
Construction_Laborers
Freight,_stock_material_handlers
Farming,_Forestry,_Fishing
Farm_Operators_&_Managers
Farm_workers_&_related_occupations
Forestry_&_fishing_occupations

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      Example 1: Get Unemployment Rates for people in Computer jobs







      Example 2: Get Employment Data for Workers in the "Retail Trade" Industry







      Example 3: Get Population Level Data for Workers





 Series Title: Labor Force Participation Rate: 16-19 years, Women: NSA
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